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Mirza Golam Kibria, PhD

About Me

Welcome! I’m Dr. Mirza Golam Kibria, a passionate researcher and innovator in wireless communications, with over a decade of experience driving advancements in 4G, 5G, and emerging 6G technologies. With a Ph.D. in Informatics from Kyoto University, Japan, and an M.Sc. in Wireless Communications from Lund University, Sweden, I specialize in developing cutting-edge algorithms for radio resource management, massive MIMO, and next-generation cellular networks. My professional journey spans impactful roles at leading research institutions and global organizations, where I’ve contributed to high-profile projects that are shaping the future of connectivity. Beyond my technical expertise, I am a Senior Member of IEEE, actively engaging with the global research community through publications, conferences, and technical committees. Join me on this site to explore my journey, my work, and my vision for the wireless world of tomorrow.

My Work

Principal Engineer, Huawei Sweden

Portfolio

Research Areas

Research Associate, University of Luxembourg

Played a pivotal role in the European Space Agency's FlexPreDem project. This initiative aimed to develop and demonstrate precoding techniques for flexible broadband satellite systems. My contributions involved designing advanced algorithms and conducting simulations to validate the effectiveness of cluster hopping and precoding strategies, which are essential for adapting satellite resources to varying traffic demands.

Researcher, NICT, Japan

Conceived an advanced neutral host micro operator (NH-μO) network approach providing venues with services tailored to their specialized/specific requirements and/or local context related services that the mobile network operators (MNOs) are poorly-suited to providing it, as well as mobile broadband experience to the users from MNOs in a venue where only a single infrastructure is mandated under shared spectrum access framework.

I contributed to the European Space Agency's CADSAT project, which focused on implementing carrier aggregation in satellite communication networks. My role involved developing software simulation tools to validate carrier aggregation techniques, enhancing data throughput and spectral efficiency in multibeam satellite systems.

The FlexPreDem SW Tool objective is to demonstrate the benefits and address the challenges at various levels of the combination of Beam Hopping and Precoding techniques over broadband High Throughput Satellite systems. It allows to test different beam hopping solutions with different geographical demand distributions as input.

Selected Publications:

M. G. Kibria, E. Lagunas, N. Maturo, D. Spano, and S. Chatzinotas, “Precoded Cluster Hopping in Multi-Beam High Throughput Satellite System,” in Proc. IEEE Globecom, Hawai, USA, Dec. 2019.

E. Lagunas, M. G. Kibria, H. Al-Hraishawi, N. Maturo, and S. Chatzinotas, “Precoded Cluster Hop- ping for Multibeam GEO Satellite Communication Systems,” Front. Signal Process., Aug. 2021. DOI: 10.3389/frsip.2021.721682.

CADSAT SW Tool 2: System level simulation consisting of multiple users located in different beams and with different demands. CA is enabled in certain users to face the instantaneous peak demands.

Selected Publications:

M. G. Kibria, E. Lagunas, N. Maturo, D. Spano, H. Al-Hraishawi, and S. Chatzinotas, “Carrier Aggre- gation in Satellite Communications: Impact and Performance Study,” IEEE Open J. Commun. Society, Sep. 2020. DOI: 10.1109/OJCOMS.2020.3023375.

M. G. Kibria, E. Lagunas, N. Maturo, D. Spano, H. Al-Hraishawi, and S. Chatzinotas, “Carrier Aggregation in Multi-Beam High Throughput Satellite System,” in Proc. IEEE Globecom, Hawai, USA, Dec. 2019.

I introduced an innovative approach by integrating carrier aggregation and beam hopping in multibeam satellite systems, enhancing resource allocation flexibility and spectral efficiency.

We envision data-driven next-generation wireless networks, where the network operators employ advanced data analytics, machine learning (ML), and artificial intelligence. We discuss the data sources and strong drivers for the adoption of the data analytics, and the role of ML, artificial intelligence in making the system intelligent regarding being self-aware, self-adaptive, proactive and prescriptive. A set of network design and optimization schemes are presented concerning data analytics.

Data analytics and ML, and AI techniques can be used in analog, digital, and hybrid beamforming in terms of generating the optimal beam patterns, dynamically selecting the most suitable beam, and performing beam-steering operation. In this figure, holographic beamforming has been taken as the use-case scenario.

Stochastic Geometry.....................................

Publications

Portfolio

[J-23] M. G. Kibria, H. Al-Hraishawi, E. Lagunas, S. Chatzinotas, and B. Ottersten, “Joint Beam Hopping and Carrier Aggregation in High Throughput Multi-Beam Satellite Systems,” IEEE Access, Nov. 2022. DOI: 10.1109/ACCESS.2022.3222468.

[J-22] E. Lagunas, M. G. Kibria, H. Al-Hraishawi, N. Maturo, and S. Chatzinotas, “Precoded Cluster Hop- ping for Multibeam GEO Satellite Communication Systems,” Front. Signal Process., Aug. 2021. DOI: 10.3389/frsip.2021.721682.

[J-21] M. G. Kibria, E. Lagunas, N. Maturo, D. Spano, H. Al-Hraishawi, and S. Chatzinotas, “Carrier Aggre- gation in Satellite Communications: Impact and Performance Study,” IEEE Open J. Commun. Society, Sep. 2020. DOI: 10.1109/OJCOMS.2020.3023375.

[J-20] L. Lei, E. Lagunas, Y. Yuan, M. G. Kibria, S. Chatzinotas, and B. Ottersten, “Beam Illumination Pattern Design in Satellite Networks: Learning and Optimization for Efficient Beam Hopping,” IEEE Access, Jul. 2020, DOI: 10.1109/ACCESS.2020.3011746.

[J-19] W.-S. Liao, O. Zhao, M. G. Kibria, G. P. Villardi, K. Ishizu and F. Kojima, “Machine Learning Based Signal Detection for CoMP Downlink in Ultra-Dense Small Cell Networks,” IEEE Access, Jan. 2020, DOI: 10.1109/ACCESS.2020.2965631.

[J-18] K. Nguyen, M. G. Kibria, K. Ishizu, and F. Kojima, “Enhancing Multipath TCP Initialization with SYN Duplication,” IEICE Trans. Commun., DOI: 10.1587/transcom.2018EBP3208.

[J-17] K. Nguyen, M. G. Kibria, K. Ishizu, and F. Kojima, “Performance Evaluation of IEEE 802.11ad in Evolving Wi-Fi Networks,” Wireless Communications & Mobile Computing, vol. 2019, no. 4089365, Feb. 2019, DOI: 10.1155/2019/4089365.

[J-16] O. Zhao, L. Shan, W.-S. Liao, M. G. Kibria, H-B. Li, K. Ishizu and F. Kojima, “A Device-Centric Clustering Approach for Large-Scale Distributed Antenna Systems using User Cooperation,” IEICE Trans. Communications, vol. E102-B, no. 02, pp.-359-372, Feb. 2019, DOI: 10.1587/transcom.2017EBP3452.

[J-15] K. Nguyen, M. G. Kibria, K. Ishizu, F. Kojima, and H. Sekiya, “An Approach to Reinforce Multipath TCP with Path Aware Information,” Sensors, 2019, 19(3), 476, DOI: 10.3390/s19030476.

[J-14] W.-S. Liao, M. G. Kibria, G. P. Villardi, O. Zhao, K. Ishizu and F. Kojima, “Coordinated Multi-Point Downlink Transmission for Dense Small Cell Networks,” IEEE Trans. Veh. Techno., vol. 68, no. 1, pp. 431- 441, Jan. 2019, DOI: : 10.1109/TVT.2018.2880788.

[J-13] M. G. Kibria, K. Nguyen, G. P. Villardi, W.-S. Liao, K. Ishizu and F. Kojima, “A Stochastic Geometry Analysis of Multi-Connectivity in Heterogeneous Wireless Networks,” IEEE Trans. Veh. Tech., vol. 67,no.10,pp. 9734-9746,Oct.2018,DOI:10.1109/TVT.2018.2863280.

[J-12] M. G. Kibria, K. Nguyen, G. P. Villardi, O. Zhao, K. Ishizu and F. Kojima, “Big Data Analytics, Machine Learning and Artificial Intelligence in Next-Generation Wireless Networks,” IEEE Access., vol. 6, no. 1, pp. 32328-32338, Dec. 2018, DOI:10.1109/ACCESS.2018.2837692. (one of the 100 most popular articles in IEEE Xplore during Jul.’2018-Mar.’2019).

[J-11] M. G. Kibria, K. Nguyen, G. P. Villardi, K. Ishizu and F. Kojima, “Next Generation New Radio Small Cell Enhancement: Deployment Scenarios, Functionality and Performance Aspects,” IEEE Wireless Commun. Mag., vol. 25, no. 08, pp. 120-128, Aug. 2018, DOI:10.1109/MWC.2018.1700277.

[J-10] M. G. Kibria, G. P. Villardi, W.-S. Liao, K. Nguyen, K. Ishizu and F. Kojima, “Outage Analysis of Offloading in Heterogeneous Networks: Composite Fading Channels,” IEEE Trans. Veh. Techno., vol. 66, no. 10, pp. 8990-9004, Oct. 2017, DOI:10.1109/TVT.2017.2703874.

[J-9] M. G. Kibria, G. P. Villardi, K. Nguyen, W.-S. Liao, K. Ishizu and F. Kojima, “Shared Spectrum Access Communications: A Neutral Host Micro Operator Approach,” IEEE J. Sel. Areas Commun., vol. 35, no. 8, pp. 1741-1753, Aug. 2017, DOI:10.1109/JSAC.2017.2710021.

[J-8] M. G. Kibria, G. P. Villardi, K. Nguyen, K. Ishizu and F. Kojima, “Heterogeneous Networks in Shared Spectrum Access Communications,” IEEE J. Sel. Areas Commun., vol. 35, no. 01, pp. 145-158, Jan. 2017, DOI: 10.1109/JSAC.2016.2633014.

[J-7] M. G. Kibria, G. P. Villardi, K. Ishizu and F. Kojima, “Throughput Enhancement of Multicarrier Cog- nitive M2M Networks: Universal-Filtered OFDM Systems,” IEEE Internet of Things Journal, vol. 3, no. 5, pp. 830-838, Oct. 2016, DOI:10.1109/JIOT.2015.2509259.

[J-6] M. G. Kibria, G. P. Villardi, K. Ishizu, F. Kojima and H. Yano, “Resource Allocation in Shared Spec- trum Access Communications for Operators with Diverse Service Requirements,” EURASIP J. Adv. Signal Process., (2016) 2016:83, DOI: 10.1186/s13634-016-0381-8.

[J-5] M. G. Kibria, F. Yuan and F. Kojima, “Feedback Bits Allocation for Interference Minimization in Cognitive Radio Communications,” IEEE Wireless Commun. Lett., vol. 5, no. 1, pp. 104-107, Feb. 2016, DOI:10.1109/LWC.2015.2503771.

[J-4] M. G. Kibria and S. Lin, “Resource Allocation Optimization for Users with Different Levels of Ser- vice in Multicarrier Systems,” IEEE Signal Process. Lett., vol. 22, no. 11, pp. 1869-1873, Nov. 2015, DOI:10.1109/LSP.2015.2440440.

[J-3] M. G. Kibria and H. Murata, “Convex Approximated Weighted Sum-Rate Maximization for Multi- cell Multiuser OFDM,” IEICE Trans. Fundamentals, vol. E97-A, no. 8, pp. 1800-1805, Aug. 2014, DOI: 10.1587/transfun.E97.A.1800.

[J-2] M. G. Kibria, H. Murata and S. Yoshida, “Performance of Partitioned Vector Quantization with Op- timized Feedback Budget Allocation,” IEICE Trans. Communications, vol. E97-B, no. 6, pp. 1184-1194, Jun. 2014, DOI: 10.1587/transcom.E97.B.1184.

[J-1] M. G. Kibria, H. Murata and S. Yoshida, “An Efficient Algorithm for Weighted Sum-Rate Maximization in Multicell OFDMA Downlink,” IEICE Trans. Fundamentals, vol. E97-A, no. 1, pp. 69-77, Jan. 2014, DOI: 10.1587/transfun.E97.A.69.

Journals

Conference Papers

[C24] M. G. Kibria and X. Jie, “Low Cost Dynamic Load Balancing for User-Centric Wireless Systems,”accepted to IEEE VTC, Jun. 2023.

[C23] L. Lei, E. Lagunas, Y. Yuan, M. G. Kibria, S. Chatzinotas, and B. Ottersten, “Deep Learning for Beam Hopping in Multibeam Satellite Systems,” IEEE VTC, Jun. 2020.

[C22] V. Joroughi, M. G. Kibria, E. Lagunas, B. S. M. Rao, S. Chatzinotas, J. Grotz, S. Maleki and B. Ottersten, “Deploying Dynamic On-Board Signal Processing Schemes for Multibeam Satellite Systems,” in Proc. IEEE Globecom, Hawai, USA, Dec. 2019.

[C21] M. G. Kibria, E. Lagunas, N. Maturo, D. Spano, and S. Chatzinotas, “Precoded Cluster Hopping in Multi-Beam High Throughput Satellite System,” in Proc. IEEE Globecom, Hawai, USA, Dec. 2019.

[C20] M. G. Kibria, E. Lagunas, N. Maturo, D. Spano, H. Al-Hraishawi, and S. Chatzinotas, “Carrier Aggre- gation in Multi-Beam High Throughput Satellite System,” in Proc. IEEE Globecom, Hawai, USA, Dec. 2019.

[C19] K. Nguyen, M. G. Kibria, K. Ishizu, F. Kojima, and Hiroo Sekiya, “An Evaluation of Multipath TCP in Lossy Environment,” in Proc. International Workshop on Pervasive Flow of Things (PerFoT), Kyoto, Japan, March. 2019.

[C18] K. Nguyen, M. G. Kibria, K. Ishizu, and F. Kojima, “Minimum Latency and Optimal Traffic Partition in 5G Small Cell Networks with Dual Connectivity,” in Proc. IEEE Vehicular Technology Conference (IEEE VTC), Porto, Portugal, Jun. 2018.

[C17] M. G. Kibria, Kien Nguyen, G. P. Villardi, K. Ishizu and F. Kojima, “Shared Resource Access High Capacity Wireless Networks: A Stochastic Geometry Framework,” in Proc. IEEE Wireless Communications and Networking Conference (IEEE WCNC), Barcelona, Spain, Apr. 2018.

[C16] K. Nguyen, M. G. Kibria, K. Ishizu, and F. Kojima, “A Study on Performance Evaluation of Multi- path TCP Implementations,” in Proc. ACM International Symposium on Information and Communication Technology (SoICT), Nha Trang, Vietnam, Dec. 2017.

[C15] W.-S. Liao, M. G. Kibria, G. P. Villardi, Z. Ou, K. Ishizu and F. Kojima, “CoMP Set Formulation for Downlink Transmission in Dense Small Cell Networks,” in Proc. IEEE Wireless Personal Multimedia Communications (IEEE WPMC), Bali, Indonesia, Dec. 2017.

[C14] K. Nguyen, M. G. Kibria, K. Ishizu, and F. Kojima, “Feasibility Study of Providing Backward Com- patibility with MPTCP to WiGig/IEEE 802.11ad,” in Proc. IEEE Vehicular technology Conference (IEEE VTC), Toronto, Canada, Sep. 2017.

[C13] K. Nguyen, M. G. Kibria, K. Ishizu, and F. Kojima, “Empirical Investigation of IEEE 802.11ad Net- work,” in Proc. IEEE International Conference on Communications (IEEE ICC), Paris, France, May. 2017.

[C12] M. G. Kibria, G. P. Villardi, W.-S. Liao, Kien Nguyen, K. Ishizu and F. Kojima, “Offloading in HetNets over shadowed Nakagami-m fading channel,” in Proc. IEEE International Conference on Standards for Communications and Networking (IEEE CSCN), Berlin, Germany, Nov. 2016.

[C11] K. Nguyen, G. P. Villardi, M. G. Kibria, K. Ishizu, F. Kojima and H. Shinbo, “An Enhancement of Multipath TCP Performance in Lossy Wireless Networks,” in Proc. IEEE Conference on Local Computer Networks Workshops (LCN Workshops), Dubai, UAE, Nov. 2016.

[C10] M. G. Kibria, K. Ishizu, F. Kojima and H. Yano, “SOCP Approximation Based Resource Allocation in Shared Spectrum Access Communications,” in Proc. IEEE International Conference on Advanced Informa- tion Networking and Applications (IEEE AINA), Crans-Montana, Switzerland, Mar. 2016.

[C9] M. G. Kibria, G. P. Villardi, K. Ishizu and F. Kojima, “Coexistence of Systems with Different Multi- carrier Waveforms in LSA Communications,” in Proc. IEEE Wireless Personal Multimedia Communications (IEEE WPMC)., Hyderabad, India, Dec. 2015. (Best Paper Award)

[C8] M. G. Kibria, S. Lin and R. Hoque, “Near Optimal Resource Allocation Algorithm for Users with Pro- portional Data Rate Fairness in MU-OFDM Systems,” in Proc. IEEE International Conference on Computer

and Information Technology (IEEE ICCIT), Dec. 2015.

[C7] M. G. Kibria and R. Hoque, “Resource Allocation for Sum-Power Minimization in Multiuser OFDM with User Rate Constraints,” in Proc. IEEE International Conference on Computer and Information Technol- ogy (IEEE ICCIT), Dec. 2015.

[C6] M. G. Kibria, H. Murata and J. Zheng, “Distributed Weighted Sum-Rate Maximization in Multicell MU-MIMO OFDMA Downlink,” in Proc. IEEE International Conference on Communications (IEEE ICC)., Sydney, Australia, Jun. 2014.

[C5] M. G. Kibria, H. Murata and S. Yoshida,“Adaptive Feedback Reduction for P-VQ in MU-MISO Down- link Precoding,” in Proc. IEEE Vehicular Technology Conference (IEEE VTC)., Las Vegas, USA, Sep. 2013.

[C4] M. G. Kibria, H. Murata and S. Yoshida,“Coordinated Linear Precoding in Downlink Multicell MU- MISO OFDMA Networks,” in Proc. IEEE Vehicular Technology Conference (IEEE VTC)., Las Vegas, USA, Sep. 2013.

[C3] M. G. Kibria, H. Murata and S. Yoshida, “Feedback Budget Allocation Optimization for P-VQ in MU- MISO Downlink Beamforming,” in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC)., London, UK, Sep. 2013.

[C2] M. G. Kibria et al., “Partitioned Vector Quantization for MU-MIMO Downlink Broadcasting,” in Proc. IEEE Vehicular Technology Conference (IEEE VTC)., Quebec, Canada, Sep. 2012.

[C1] M. G. Kibria et al., “Predictive P-VQ for Non-Linear Precoder in MU-MISO Downlink Broadcasting,” in Proc. IEEE Asia Pacific Wireless Communication Symposium (IEEE APWCS)., Kyoto, Japan, Aug. 2012.